雜志介紹

Frontiers In Computational Neuroscience雜志介紹

《Frontiers In Computational Neuroscience》是一本以English為主的開(kāi)放獲取國(guó)際優(yōu)秀期刊，中文名稱(chēng)計(jì)算神經(jīng)科學(xué)前沿，本刊主要出版、報(bào)道醫(yī)學(xué)-MATHEMATICAL & COMPUTATIONAL BIOLOGY領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專(zhuān)業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專(zhuān)業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為2.1，最新CiteScore 指數(shù)為5.3。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition

  Author: Wan, Cheng; Fang, Jiyi; Hua, Xiao; Chen, Lu; Zhang, Shaochong; Yang, Weihua

• Learning with few samples in deep learning for image classification, a mini-review

  Author: Zhang, Rujun; Liu, Qifan

• Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory

  Author: Zhou, Qinghua; Zheng, Yiran

• Survival prediction for patients with glioblastoma multiforme using a Cox proportional hazards denoising autoencoder network

  Author: Yan, Ting; Yan, Zhenpeng; Liu, Lili; Zhang, Xiaoyu; Chen, Guohui; Xu, Feng; Li, Ying; Zhang, Lijuan; Peng, Meilan; Wang, Lu; Li, Dandan; Zhao, Dong

英文介紹

Frontiers In Computational Neuroscience雜志英文介紹

Frontiers in Computational Neuroscience is a first-tier electronic journal devoted to promoting theoretical modeling of brain function and fostering interdisciplinary interactions between theoretical and experimental neuroscience. Progress in understanding the amazing capabilities of the brain is still limited, and we believe that it will only come with deep theoretical thinking and mutually stimulating cooperation between different disciplines and approaches. We therefore invite original contributions on a wide range of topics that present the fruits of such cooperation, or provide stimuli for future alliances. We aim to provide an interactive forum for cutting-edge theoretical studies of the nervous system, and for promulgating the best theoretical research to the broader neuroscience community. Models of all styles and at all levels are welcome, from biophysically motivated realistic simulations of neurons and synapses to high-level abstract models of inference and decision making. While the journal is primarily focused on theoretically based and driven research, we welcome experimental studies that validate and test theoretical conclusions.

Also: comp neuro